In this article, we'll use Data Science and Machine Learning tools to analyze data from a house prices dataset. We will begin by performing Exploratory Data Analysis on the data. We'll create a script to clean the data, then we will use the cleaned data to create a Machine Learning Model. Finally we use the Machine Learning model to implement our own prediction API. The full source code is in the GitHub repository with clear instructions to execute this end-to-end project.
Jun-22-2021, 03:45:37 GMT